Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Turghunjan Abdukirim"'
Autor:
Maliyamuguli Maimaiti, Aireti Abulikemu, Ailiminu Abulijiang, Turghunjan Abdukirim, Abudurusuli Aosiman
Publikováno v:
Proceedings of the 2020 3rd International Conference on Computer Science and Software Engineering.
Medical image are often deteriorated by various noises during acquisition or transmission, this will leads to low contrast and poor quality of the medical image, which further seriously affects clinical diagnosis and interpretation, In order to solve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1201f6f4c003064bf749b8f613f09fa
https://doi.org/10.1145/3403746.3403925
https://doi.org/10.1145/3403746.3403925
Publikováno v:
International Journal of Image and Graphics. :513-533
This paper proposes a wavelet based multilevel edge detection method that exploits spline dyadic wavelets and a frame work similar to that of Canny's edge detector.2 Using the recently proposed dyadic lifting schemes by Turghunjan et al.1 spline dyad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8dad0f5b0ccef321b10952d0bcbe0e0
https://doi.org/10.1142/s0219467808003210
https://doi.org/10.1142/s0219467808003210
Publikováno v:
Bulletin of informatics and cybernetics. 37:123-136
A method for designing biorthogonal wavelet filters is proposed. The method is used for constructing symmetric biorthogonal spline wavelet filters with finite length and vanishing moments. The constructed filters are applied together with a threshold
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b401b0bb574d2f8df49d83fa1f06b0b5
http://hdl.handle.net/2324/12595
http://hdl.handle.net/2324/12595
Publikováno v:
Communications in Computer and Information Science ISBN: 9783662456453
CCPR (1)
CCPR (1)
A fast objects detection method is proposed, which is based on the variance-maximization learning of lifting dyadic wavelet filters. First, we derive a difference equation from two kinds of lifting high-pass components of a target image. The differen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c03be4fd3d00f1ad52f156fdc2e3457
https://doi.org/10.1007/978-3-662-45646-0_42
https://doi.org/10.1007/978-3-662-45646-0_42
Publikováno v:
2012 IEEE International Conference on Computer Science and Automation Engineering (CSAE).
A new method of designing dyadic wavelet filters with higher vanishing moments is proposed by using dyadic lifting scheme which has been developed recently by us. Based on the method new spline dyadic wavelet filters have been constructed and applied
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c8094863e716edf4a1824854e2ee158
https://doi.org/10.1109/csae.2012.6273066
https://doi.org/10.1109/csae.2012.6273066
Publikováno v:
2011 IEEE International Symposium on IT in Medicine and Education.
Dyadic wavelet transform is suitable for enhancement and edge detection of images since it has a shift-invariant property. Especially, spline dyadic wavelet transform provides excellent enhancement and edge detection techniques because of the smoothn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5dd3c6eb4da89451eceb99e37339b7e
https://doi.org/10.1109/itime.2011.6130779
https://doi.org/10.1109/itime.2011.6130779
Publikováno v:
2011 IEEE International Conference on Computer Science and Automation Engineering.
Lifting and dual lifting dyadic wavelet filters satisfying a reconstruction condition have been constructed. Based on these filters, two fast dyadic wavelet transforms have been derived, which have been employed to design new dyadic wavelet filters w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebf180273f5b4ac49dfd057577595c1f
https://doi.org/10.1109/csae.2011.5953273
https://doi.org/10.1109/csae.2011.5953273
Publikováno v:
ISSPA
This paper proposes a wavelet based multilevel edge detection method that exploites spline dyadic wavelets and a frame work similar that of Canny’s edge detector [2]. Using the recently proposed dyadic lifting schemes by Turghunjan et al [1], splin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c5f9457c6fb16b76a806d032b4d2a66
https://doi.org/10.1109/isspa.2005.1581064
https://doi.org/10.1109/isspa.2005.1581064
Publikováno v:
ICIP (3)
This paper presents a fast algorithm for detecting facial parts such as nose, eyes and lips in an image by using lifting dyadic wavelet filters. Free parameters in the lifting filters are learned so as to maximize the cosine of an angle between a vec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e3e1d29ad731a8c2324ec33ad5a3aa7
https://doi.org/10.1109/icip.2003.1247389
https://doi.org/10.1109/icip.2003.1247389